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Jurrie van den Breekel

Sashi-Jeyaretnam

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Evan Kirstel

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Aniket Khosla profile

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Jayanth-01

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Testing 5G Use Cases in a Generative AI-enabled 5G Network on 

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Anil Kollipara

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Stephen Douglas

Chris Chapman

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市場戦略統括

VP, Wireline Product Management

Aniket Khosla 

Vice President, Product Management

Sr. Director of Product Management for Security Solutions

Sashi Jeyaretnam

Anil Kollipara social

AI-Avatar-in-Cyberspace

Senior Product Manager, HSE

Asim Rasheed

産業インフルエンサー

Senior Methodologist, Spirent

VP, Strategic Partnerships

Senior Solutions Architect 

Jayanth Garapati

Author: Jayanth Garapati

Building Resilient and Compliant Enterprise Networks with Automated Security Testing

Ultra Ethernet Stack 1.0: A Game Changer, But Proper Assurance is Key

AIネットワークのインパクトの善し悪しを解決する新しいテストアプローチ

Goodbye To Bottlenecks: New Approaches to Stress Test AI’s 800G Backbone

Look Before You Leap: AI Data Center Testing Emerges as Top Priority

レポート：大変革を迎えるAI主導の高速イーサネット市場

Status Check: The Latest on How AI Is Powering Network Testing and Assurance

Security and Monetization Realities of Cloud and Edge Networks

Unlocking the Future of Lab and Test Automation: Why It’s Essential for Your Enterprise

Early Telecom AI Progress Points to Real Performance Results 

AI’s Transformative Impact on Data Center Networking

The Challenge of Evolving AI Workloads in Data Centers 

Testing 5G Use Cases in a Generative AI-enabled 5G Network on AWS 

AI/ML was Ready for its Closeup at OFC 2024

5G Standalone and the Cloud-native Telco are Taking Off

Meeting the Complex Challenge of O-RAN Testing

Spirent testing strategy for-financial enterprises

Grid lines

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Automation Strategies to Avoid Finance’s Next Major Meltdown

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今、私たちは数十年ぶりに高速イーサネット（HSE）における最もエキサイティングで意義深い瞬間を迎えています。最新の年次レポートはデータセンターネットワーキングとHSE市場を形作るトレンド、需要、開発の最新情報をレポートしています。

Telecom is eager to explore every aspect of AI-powered innovation and transformation. Stakeholders are seeking a competitive edge, new revenues, more efficient network operations, and reduced costs.

Status check on how AI is powering network testing and assurance. Learn about testing’s role across the AI lifecycle, and the path appearing toward AI autonomous networking. 

How AI Is Powering Network Testing and Assurance

AI and automation are already reducing RAN energy consumption and providing partial autonomy for network operations. Even bigger impacts are on the horizon.

Early Telecom AI Progress Points to Real Results 

The rapid evolving growth of AI is impacting hyperscaler data centers, as high volumes of traffic and intensive processing requirements push the limits of current networks. Data center architectures and the high-speed networks they rely on must be reevaluated, along with their testing strategies, to ensure reliable performance now and into the future.

The rapid growth of AI is impacting data center architectures and the high-speed networks they rely on They must be reevaluated, along with the testing strategies to ensure reliable performance into the future.

Large enterprises face challenges related to complexity, cost, productivity, and regulatory compliance. Many recognize the critical need to modernize their test labs to automate manual processes, incorporate historical analysis, and facilitate regression testing. The latest transformation strategies provide opportunities to streamline operations, reducing lab testing timelines from months to hours

Large enterprises face challenges related to complexity, cost, productivity, and regulatory compliance.

How Modern Test Labs Cut Cost and Complexity

Grid Lines

AI is transforming data centers, driving demand for high-speed Ethernet and scalable infrastructure. This blog explores how operators are adopting 800G Ethernet and sustainable practices to meet AI’s intensive requirements. Learn why efficiency and resource optimization are essential for monetizing AI infrastructure investments.

AI is transforming data centers, driving demand for high-speed Ethernet and scalable infrastructure. This blog explores how operators are adopting 800G Ethernet and sustainable practices to meet AI’s intensive requirements. 

AI Data Center Testing Emerges as Top Priority

Financial institutions rely on their digital infrastructure for conducting financial transactions and providing services to their customers; it's important to ensure their networks are secure, reliable, and perform as planned to their specific needs.

Validating Network Security and Performance for Financial Institutions

Financial enterprises are pushed to test more complex systems, faster than ever, while facing multiple regulatory compliance requirements that must be fulfilled multiple times per year. For many, their current state of testing simply can’t keep up. To address these challenges, a test lab modernization and automation strategy is key to addressing objectives and requirements in the financial sector.

A test lab modernization and automation strategy is key to addressing complex objectives and requirements in the financial sector.

Test Lab Modernization Trends for Financial Enterprises

In the dynamic realm of data centers, AI is setting new benchmarks. A discussion with Aniket Khosla, VP of Wireline Product Management at Spirent, highlighted how AI is revolutionizing data center networking.

Innovative testing approaches in preparation for the AI revolution

The growing number of regulatory compliance requirements mandate BFSI institutions conduct annual – some biannual – operational resilience testing to ensure ICT systems can withstand cyberattacks and disruptions. Traditional manual testing can’t do the job anymore.

The growing number of regulatory compliance requirements mandate BFSI institutions conduct annual – some biannual – operational resilience testing to ensure ICT systems can withstand cyberattacks and disruptions. 

Automation Strategies to Avoid Finance’s Major Meltdown

Test, assurance, and automation thought leadership from our in-house experts.

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